Results 71 to 80 of about 2,610,867 (326)

Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems [PDF]

, 2013
A rough set approach for attribute reduction is an important research subject in data mining and machine learning. However, most attribute reduction methods are performed on a complete decision system table.
Dinh, Vu Van, Giang, Nguyen Long
core  

Gourd‐Inspired Design of Unit Cell with Multiple Gradients for Physiological‐Range Pressure Sensing

Advanced Functional Materials, EarlyView.
Gourd‐shaped micro‐dome arrays with coordinated modulus, conductivity, and geometric gradients co‐optimize sensitivity and linearity in piezoresistive tactile sensors. Under pressure, a solid upper dome embeds into a porous lower dome, triggering rapid contact‐area growth and series‐to‐parallel conduction, enabling unsaturated, intensity‐resolved ...
Jiayi Xu, Ming Lei, Yuanzhe Liang, Biao Qi, Ziyi Dai, Yong Zhao, Bingpu Zhou   +6 more
wiley   +1 more source

Monocular Viewpoints Estimation for Generic Objects in the Wild

IEEE Access, 2019
Although classification-based approaches achieved remarkable performance in viewpoints estimation, they still have limitations and face the challenging viewpoints ambiguity problem. In this paper, we analyze this problem and give solutions: 1) we propose
Zhigang Li, Yuwang Wang, Xiangyang Ji
doaj   +1 more source

Attribute Set Weighting and Decomposition Approaches for Reduct Computation [PDF]

, 2005
This research is mainly in the Rough Set theory based knowledge reduction for data classification within the data mining framework. To facilitate the Rough Set based classification, two main knowledge reduction models are proposed. The first model is an
Al-Radaideh, Qasem Ahmad
core  

A Kind of Affine Weighted Moment Invariants

, 2017
A new kind of geometric invariants is proposed in this paper, which is called affine weighted moment invariant (AWMI). By combination of local affine differential invariants and a framework of global integral, they can more effectively extract features ...
A Khotanzad, B Yong, C Schmid, D Hilbert, D Xu, J Flusser, J Flusser, J Ge, JM Geusebroek, MK Hu, PJ Olver, PJ Olver, SA Dudani, Y Wang   +13 more
core   +1 more source

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

Advanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan, Zhiqiang Zhao, Oliver J. Conquest, Ying Shu, Haoyue Sun, Chunjing Su, Qi Cheng, Aloysius Soon, Catherine Stampfl, Jun Huang   +9 more
wiley   +1 more source

REDUKSI ATRIBUT BERDASAR MATRIK DISCERNIBILITY TEORI ROUGH SET DALAM SIMULASI BENCANA KEBAKARAN GEDUNG [PDF]

, 2014
Bencana kebakaran dapat terjadi dimana saja dan kapan saja, dapat terjadi di area tempat tinggal, di tambang dan di hutan. Terdapat isu penting pada deteksi kebakaran otomatis, yaitu mengenai data parameter kebakaran.
Herdiyatmoko, Hendrik Fery
core  

Dual‐Site Ru Single‐Atoms and RuP Nanoclusters on N, P, and B Co‐Doped Porous Carbon for Efficient Alkaline HER and AEM Water Electrolysis

Advanced Functional Materials, EarlyView.
Ru single atoms and RuP nanoclusters are co‐anchored in N, P, and B co‐doped porous carbon nanospheres via in situ carbonization/phosphidation of a boronate polymer precursor. RuP activates water, while nearby Ru single atoms accelerate H2 formation through H* transfer. The catalyst delivers low overpotential and high durability in alkaline HER and AEM
Xiaohong Wang, Juguo Dai, Dongxu Li, Jianghua Wu, Hucheng Fu, Yiting Xu, Xueqiang Qi, Qian Xue, Yanbin Shen, Xiaoqing Pan, Conghui Yuan, Shuifen Xie, Andreu Cabot, Lizong Dai   +13 more
wiley   +1 more source

Decision rule extraction for fault diagnosis by discernibility matrix [PDF]

Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015, 2015
This article focuses on algorithm to directly and fast finding out the decision rule from decision tables by using rough set theory. The concept of relative rule is put forward and the method for finding absolute reduction decision rule through combining rules of relative decisional requirement sets is given in this paper.
openaire   +1 more source

Understanding the Role of Superhydrophobicity and Superhydrophilicity in Salt‐Spray Corrosion of Nanosecond Pulsed Laser‐Textured AA2024 Alloy

Advanced Functional Materials, EarlyView.
Nanosecond pulse laser texturing yields superhydrophobic and superhydrophilic AA2024 surfaces. Salt‐spray tests show that periodic superhydrophobic patterns suppress pitting, whereas superhydrophilic textures enhance it, linking laser‐induced morphology, wettability, and oxide chemistry to corrosion resistance.
Lis Geraldine Zschach, Robert Baumann, Eric Pohl, Angelika Wrzesińska‐Lashkova, Marcelo Sallese, Ignacio Tabares, Herman Heffner, Yana Vaynzof, Andrés Fabián Lasagni   +8 more
wiley   +1 more source